29 lines
716 B
Python
29 lines
716 B
Python
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from Baseline import get_baseline_class
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from CellData import CellData, icelldata_of_dir
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from models.LIFACnoise import LifacNoiseModel
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from Baseline import BaselineCellData, BaselineModel
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from os import listdir
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import numpy as np
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from IPython import embed
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import pyrelacs.DataLoader as Dl
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from ModelFit import ModelFit
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from FiCurve import FICurveModel
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import os
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import matplotlib.pyplot as plt
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vs = []
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for cell in icelldata_of_dir("invivo_data/"):
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base = BaselineCellData(cell)
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vs.append(base.get_burstiness())
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bins = np.arange(0, 1.05, 0.05)
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plt.hist(vs, bins=bins)
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plt.show()
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quit()
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for cell_data in icelldata_of_dir("data/"):
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baseline = get_baseline_class(cell_data)
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baseline.get_burstiness() |